ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
IJCRT Journal front page | IJCRT Journal Back Page |
Paper Title: RESEARCH ON RECOGNITION MODEL OF CROP DISEASES AND INSECT PESTS BASED ON DEEP LEARNING IN HARSH ENVIRONMENTS
Author Name(s): A.MAMATHA, G.RADHIKA, K.L.L.LAVANYA, CH.SAI LEELA
Published Paper ID: - IJCRT2106280
Register Paper ID - 208604
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106280 and DOI :
Author Country : N, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106280 Published Paper PDF: download.php?file=IJCRT2106280 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106280.pdf
Title: RESEARCH ON RECOGNITION MODEL OF CROP DISEASES AND INSECT PESTS BASED ON DEEP LEARNING IN HARSH ENVIRONMENTS
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: N
Pubished in Volume: 9
Issue: 6
Pages: c329-c345
Year: June 2021
Downloads: 1126
E-ISSN Number: 2320-2882
Rural illnesses and bug vermin are quite possibly the main factors that genuinely compromise rural creation. Early discovery and ID of vermin can adequately lessen the monetary misfortunes brought about by bugs. In this paper, convolution neural organization is utilized to consequently recognize crop infections. The informational index comes from the public informational collection of the AI Challenger Competition in 2018, with 27 illness pictures of 10 yields. In this paper, the Inception-ResNet-v2 model is utilized for preparing. The cross-layer direct edge and multi-facet convolution in the leftover organization unit to the model. After the joined convolution activity is finished, it is actuated by the association into the ReLu work. The test results show that the general acknowledgment precision is 86.1% in this model, which confirms the viability. After the preparation of this model, we planned and executed the We chat applet of harvest sicknesses and bug bugs acknowledgment. At that point we completed the genuine test. The outcomes show that the framework can precisely distinguish crop infections, and give the relating direction.
Licence: creative commons attribution 4.0
Recognition of Pests and Diseases, Deep Learning, Convolutional Neural Network, Harsh Environment.
Paper Title: THE SELF-DRIVING CAR USING LIDAR
Author Name(s): Mr. Ritik Rokade, Mr. Nikikesh Sonwane, Mr. Sanjay Bisen, Ms. Gayatri Kaware, Prof. Shashi Rathore
Published Paper ID: - IJCRT2106279
Register Paper ID - 208588
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106279 and DOI :
Author Country : Indian Author, India, 440015 , Nagpur, 440015 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106279 Published Paper PDF: download.php?file=IJCRT2106279 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106279.pdf
Title: THE SELF-DRIVING CAR USING LIDAR
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: c317-c328
Year: June 2021
Downloads: 1153
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Arduino, Lidar, Colour Sensor, Self-Driving Car
Paper Title: RECENT ADVANCES OF NANOTECHNOLOGY IN PHARMACEUTICAL FIELD
Author Name(s): Shital Bhosale, Jaydeep Pawar*, Nikita Shinde
Published Paper ID: - IJCRT2106278
Register Paper ID - 208527
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106278 and DOI :
Author Country : Indian Author, India, 414105 , Ahmednagar, 414105 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106278 Published Paper PDF: download.php?file=IJCRT2106278 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106278.pdf
Title: RECENT ADVANCES OF NANOTECHNOLOGY IN PHARMACEUTICAL FIELD
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Pharmacy All
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: c297-c316
Year: June 2021
Downloads: 1151
E-ISSN Number: 2320-2882
Reduction in size is one of the most important unit operation that is of great importance in the field of pharmacy. This helps to enhance stability and bioavailability, reduce toxicity, increase release and provide better product formulation opportunities. Now a days, Nanotechnology is gaining importance rapidly as a powerful technology. Recent developments in nanotechnology have permitted the development of elaborate Nano sized particles for different biomedical applications. The rapid development of nanotechnology has increased the possibility of using engineered nanoparticles that interact for disease treatment within biological environments. Nanoparticles change the kinetics, drug delivery, and subsequent drug release. Some effects include tissue or cell specific drug targeting, and a controlled release prevents unintended side effects. The present paper aims to review various applications of nanotechnology in the field of pharmaceuticals.
Licence: creative commons attribution 4.0
Stability, Bioavailability, Nanotechnology, Nanoparticles, Drug Delivery
Paper Title: ECONOMIC PARTICIPATION OF WOMEN WORKFORCE: A CASE OF AFGHANISTAN
Author Name(s): Muhammad Hashem Omari, Mohammad Ibrahim Sharaf
Published Paper ID: - IJCRT2106277
Register Paper ID - 208662
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106277 and DOI :
Author Country : Indian Author, India, 144411 , KAPURTHALA, 144411 , | Research Area: Social Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106277 Published Paper PDF: download.php?file=IJCRT2106277 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106277.pdf
Title: ECONOMIC PARTICIPATION OF WOMEN WORKFORCE: A CASE OF AFGHANISTAN
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Social Science All
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: c289-c296
Year: June 2021
Downloads: 1157
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Economic participation, Profile of women at workplace, Disparity, Afghanistan economy.
Paper Title: GEO TECHNICAL INVESTIGATION OF REINFORCED SOIL IN SOIL SLOPE STABILITY
Author Name(s): Mrs.Reena S. Gautam, Prathamesh Sheth, Sakshi mali, Sumit Taru, Aakash Talpe
Published Paper ID: - IJCRT2106276
Register Paper ID - 208661
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106276 and DOI :
Author Country : Indian Author, India, 411041 , Pune, 411041 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106276 Published Paper PDF: download.php?file=IJCRT2106276 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106276.pdf
Title: GEO TECHNICAL INVESTIGATION OF REINFORCED SOIL IN SOIL SLOPE STABILITY
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: c283-c288
Year: June 2021
Downloads: 1165
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Organic Soil, Vetiver Roots.
Paper Title: HR AUDIT: A WAY TO ACHIEVE ORGANIZATIONAL SUSTAINABILITY
Author Name(s): Dr. Nazia Ansari, Prof Anand Dhutraj
Published Paper ID: - IJCRT2106275
Register Paper ID - 208551
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106275 and DOI :
Author Country : Indian Author, India, 400058 , Mumbai, 400058 , | Research Area: Management All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106275 Published Paper PDF: download.php?file=IJCRT2106275 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106275.pdf
Title: HR AUDIT: A WAY TO ACHIEVE ORGANIZATIONAL SUSTAINABILITY
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Management All
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: c280-c282
Year: June 2021
Downloads: 1167
E-ISSN Number: 2320-2882
Human Resource Department has the responsibility to ensure skilled and professional supply of workforce. But is it sufficient enough to invest in HR department and not take in account how well it is functioning? To have a sustainable growth in the ever changing dynamic business environment, it becomes all the more necessary to carefully examine, assess and evaluate the performance of HR department. This examination, assessment and evaluation of the effectiveness of HR department bevomes the core responsibility of HR Audit. HR audit is detailed analysis of HR standards to identify the gap in HR functions and modify the same. The present study explores the importance of HR audit and the methodology which can be practiced by the HR auditors to bring out the true and fair view of HR department. The paper also highlights examples of Indian organization which are practicing and hence benefitting by practicing HR Audit.
Licence: creative commons attribution 4.0
HR Audit, HR professional, Sustainable Growth.
Paper Title: FACIAL IMAGE GENERATION OF ANIME CHARACTERS
Author Name(s): Sourabh Kumar, Yogita T Hambir, Pranav Bhaskar, Rohit Kumar, Tirth Patel
Published Paper ID: - IJCRT2106274
Register Paper ID - 208659
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106274 and DOI :
Author Country : Indian Author, India, 411015 , Pune, 411015 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106274 Published Paper PDF: download.php?file=IJCRT2106274 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106274.pdf
Title: FACIAL IMAGE GENERATION OF ANIME CHARACTERS
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: c274-c279
Year: June 2021
Downloads: 1194
E-ISSN Number: 2320-2882
Back in 2014, Ian Goodfellow dreamt up the idea of Generative Adversarial Net-works (GANs), since then a lot of work has been done in the field of Automatic facial image generation. There are already some papers regarding the anime character generation using different GAN algorithms with good results but not so efficient. In this work, we explored the StyleGAN2 for training our clean and well-suited data-set and obtained an efficient and promising result.For public convenience, we built a website that will allow users to obtain required anime character by giving few characteristics.
Licence: creative commons attribution 4.0
Deep Learning, Generative Model, Anime
Paper Title: DEVELOPMENT OF SOLID SELF-EMULSIFYING FORMULATION FOR IMPROVING THE ORAL BIOAVAILABILITY OF ARTEMETHER
Author Name(s): Hanmant S. Mali, Safiya R. Shaikh, Akshay R. Yadav
Published Paper ID: - IJCRT2106273
Register Paper ID - 208656
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106273 and DOI :
Author Country : Indian Author, India, 415539 , Karad, 415539 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106273 Published Paper PDF: download.php?file=IJCRT2106273 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106273.pdf
Title: DEVELOPMENT OF SOLID SELF-EMULSIFYING FORMULATION FOR IMPROVING THE ORAL BIOAVAILABILITY OF ARTEMETHER
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Pharmacy All
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: c257-c273
Year: June 2021
Downloads: 1128
E-ISSN Number: 2320-2882
The oral route is the most preferred drug administration path because to its ease of administration, convenience, high patient compliance, flexibility in dosage form design, fewer sterility constraints, and cost effectiveness. Lipid emulsions, lipid solutions, micro emulsions, and dry emulsions are examples of lipid drug delivery systems. Artemether (ARM), a poorly water soluble chemical, presents difficulties in developing pharmaceutical formulations with adequate bioavailability. Capmul MCM was used as the oil, Tween 80 as the surfactant, and PEG 400 as the co-surfactant in various ratios to create four self micro-emulsifying formulations. Using an adsorption method, optimised liquid SMEDDS formulations were converted into free-flowing powder and evaluated for drug content, FTIR, DSC, Globule size analysis, SEM, and in-vitro dissolution study. The results show that decreased crystallinity, altered surface morphology, and smaller globules were responsible for a significant increase in drug dissolving rate from the modified S-SMEDDS formulation.
Licence: creative commons attribution 4.0
Artemether, Poor water solubility, Solid self micro-emulsifying Drug delivery system.
Paper Title: AN IOT BASED SYSTEM FOR AUTOMATIC ELECTRICITY SAVING USING MACHINE LEARNING TECHNIQUES
Author Name(s): Jyoti Anil Kamble, Laxmi Pawar, Bhagyashree Sanjay Patil, Pooja Ramchandra Jagade, Muskan Shaikh
Published Paper ID: - IJCRT2106272
Register Paper ID - 208534
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106272 and DOI :
Author Country : Indian Author, India, 411027 , Pune, 411027 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106272 Published Paper PDF: download.php?file=IJCRT2106272 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106272.pdf
Title: AN IOT BASED SYSTEM FOR AUTOMATIC ELECTRICITY SAVING USING MACHINE LEARNING TECHNIQUES
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: c253-c256
Year: June 2021
Downloads: 1123
E-ISSN Number: 2320-2882
This project aims to save energy which is wasted because of human irresponsibility and carelessness in using electricity and effectively control electronic devices using a micro controller (Raspberry Pi). The system here detects the presence of human. If any person found then the appliances will remain on and if no person is detected then the appliances gets turned off. This helps in saving electricity. For detecting humans, the camera will continuously capture the frames and then send these frames to the raspberry pi. From raspberry pi the signal will be sent to the appliances and the system will work accordingly. For detecting humans, the system uses haar cascade algorithm.
Licence: creative commons attribution 4.0
Internet of Things, Image processing, Object detection, Haar cascade, Artificial intelligence, Computer vision.
Paper Title: PLANT DISEASE DETECTION USING DEEP CONVOLUTION NEURAL NETWORKS
Author Name(s): Dr.L.Malathi, Akshata Pawar.S, Jayasree R, Lavanya E
Published Paper ID: - IJCRT2106271
Register Paper ID - 208553
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106271 and DOI :
Author Country : Indian Author, India, 637205 , Namakkal, 637205 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106271 Published Paper PDF: download.php?file=IJCRT2106271 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106271.pdf
Title: PLANT DISEASE DETECTION USING DEEP CONVOLUTION NEURAL NETWORKS
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: c243-c252
Year: June 2021
Downloads: 1175
E-ISSN Number: 2320-2882
Nowadays plant disease is becoming more and more serious in the agriculture, farmers suffer a lot due to the infection, drastic climate changes and lack of immunity in crops and their yield is also affected due to the lack of detection. This causes large scale demolition of crops, decreases cultivation and eventually leads to financial loss of farmers. Due to rapid growth in variety of diseases and adequate knowledge of farmer, identification and treatment of the disease has become a major challenge. The leaves have texture and visual similarities which attributes for identification of disease type. Hence, computer vision employed with deep learning which provides the way to solve this problem. This paper proposes a deep learning-based CNN model which is trained using plant village dataset containing various images of healthy and diseased leaves. The performance of the proposed model is compared with the existing model and result is presented in the section
Licence: creative commons attribution 4.0
Deep learning, Disease detection, Artificial Neural Network, Convolution Neural Network.